Representation Learning

Probabilistic Partial Canonical Correlation Analysis ICML 2014 Product Sparse Coding CVPR 2014 Projective dictionary pair learning for pattern classification NeurIPS 2014 Provable Bounds for Learning Some Deep Representations ICML 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 Quality Dynamic Human Body Modeling Using a Single Low-cost Depth Camera CVPR 2014 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels ICML 2014 Randomized Nonlinear Component Analysis ICML 2014 Random Laplace Feature Maps for Semigroup Kernels on Histograms CVPR 2014 Rank-One Matrix Pursuit for Matrix Completion ICML 2014 Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition CVPR 2014 Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts CVPR 2014 Recovery of Coherent Data via Low-Rank Dictionary Pursuit NeurIPS 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014 Relative Parts: Distinctive Parts for Learning Relative Attributes CVPR 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization JMLR 2014 Robust Principal Component Analysis with Complex Noise ICML 2014 Robust Separation of Reflection from Multiple Images CVPR 2014 Robust Stochastic Principal Component Analysis AISTATS 2014 Robust Subspace Segmentation with Block-diagonal Prior CVPR 2014 Robust Tensor Decomposition with Gross Corruption NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Scalable Multitask Representation Learning for Scene Classification CVPR 2014